Suspect detection using image processing

Project Title

Suspect detection using image processing

Project Area of Specialization Artificial IntelligenceProject Summary

Suspect Detection System is all concerned about dealing with security issues, or unauthorized entry, or infiltration. As over the past few years, we learnt about different cases of intrusion in UIIT where outsider students attempted to sit in exams on the behalf of another student which is an emerging issue and we need to take swift actions to tackle this sort of problems. So, the proposed system is used to detect intruders and adopts proactive approach to avoid unpleasant experience. The system takes the images of authorized person/users via special camera and stores the capture images into the Database. Then at entry point, or in the premises where the system is installed, it takes the pictures of passing persons and compare it with the current Database, if captured image matches with the current database of authorized people, it means the person is authorized and if the captured picture is not matched, It will consider it as SUSPECT or INTRUDER , then it generates an alert to control room, or administration room and they will take precaution measurements action against suspect. 

Project Objectives

1) Detects unauthorized personnel entry and provides a prompt notice for the response force to respond to an alarm event.

2) To achieve such a security system which will provide a better way to overcome intrusion or any sort of infiltration within organization.

3) Different type of tools and technologies makes it possible to develop such system, different hardware equipment’s like Camera’s will also be entertained in it.

4) Ensures integrity or safety of organization or university.

5) Give new possibilities to do old things, thus removing the fear about new technologies as hinderer of old fashions 

Project Implementation Method

Project has been implemented by using OpenCV library using EMGU-CV .NET wrapper of Opencv in c#.to use different function of OpenCV(Open source computer Vision).

For Face detection from live footage,haar cascade classifier has been used and for the training of dataset of images,Local binary pattern histogram classifier has been used.

Benefits of the Project

Benefits of the project are following:

1.Project successfully distinguish between trained and untrained faces,in order to identify unknown.

2.Make the use of technology to identify any kind of intrusion

3.Decrease the ratio of security threats by taking proactive and preemptive action

Technical Details of Final Deliverable

A) Full documentation of the project including design and implementation

B) Software system which is easy to use and make the security concerns more strong

Final Deliverable of the Project Software SystemType of Industry IT Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	68000
HD Cameras with DVR	Equipment	4	17000	68000